Teaching computer programming language remotely presents particular difficulties due to its requirement for abstract and logical thinking. There is a dearth of research specifically examining the potential factors that determine student performance when distance self-learning is conducted for programming language education. This study aims to…

Purpose: This research aims to build on the pre-existing corpus of literature through the integration of the technology acceptance model (TAM) and usage habit to more accurately capture the determinants associated with social media addiction among university students. This study seeks to delineate how usage habit and TAM may be used as predictors…

Artificial intelligence in higher education is becoming more prevalent as it promises improvements and acceleration of administrative processes concerning student support, aiming for increasing student success and graduation rates. For instance, Academic Performance Prediction (APP) provides individual feedback and serves as the foundation for…

In today's world, lifelong learning (LLL) is a key element of individual and societal success. However, despite knowing potential determinants of LLL, we do not yet understand how they interact to facilitate LLL. Therefore, the present study aims to verify the usefulness of the Theory of Planned Behavior (TPB) in predicting LLL. We applied a…

This study aims to examine the relationships between school principals' entrepreneurial competencies, sustainable management behaviours and generative leadership according to the perceptions of teachers working in state-owned schools. The causal screening model was used in the study, the data of the relevant variables were obtained by the scales…

The purpose of the present research was to examine the interplay between teacher feedback, parental involvement and peer support and on homework engagement of students. The research adopted correlation research model, and the participants of the research were students (n = 450) in the central region of Turkey. In the research, 'Teacher Feedback in…

On average, deaf and hard-of-hearing (DHH) children have difficulty developing expressive spoken vocabulary comparable to hearing peers. Yet, there are no evidence-based practices to guide classroom instruction for teachers of the deaf. Retrieval practice--a robust learning strategy--has been shown to improve children's retention of vocabulary,…

Background: Life satisfaction is a key component of students' subjective well-being due to its impact on academic achievement and lifelong health. Although previous studies have investigated life satisfaction through different lenses, few of them employed machine learning (ML) approaches. Objective: Using ML algorithms, the current study predicts…

Studies on learning strategies across cultures in higher education inform the internationalisation of teaching and learning. Previous comparisons relied on geographical generalisations (e.g., "Asian", "Western", "Latin-American") or only variable-centred methods, which can overgeneralise the contexts they represent.…

This quantitative study investigates the predictive power of machine learning (ML) models on degree completion among adult learners in higher education, emphasizing the enhancement of data-driven decision-making (DDDM). By analyzing three ML models - Random Forest, Gradient-Boosting machine (GBM), and CART Decision Tree - within a not-for-profit,…

Within the discipline of school psychology, social justice is a fundamental concept and an aspiration of practitioners. Recently, a myriad of pleas has been made for school psychologists to act as agents of social justice change. Further, bullying, which is a prevalent issue in schools, has been identified as a school-based social justice…

Suspension and expulsion have been documented concerns in childcare centers throughout the United States for nearly 20 years. This study examined suspension and expulsion practices in community childcare centers two years into the COVID-19 pandemic (May 2022). Survey data from 131 administrators of community childcare programs were analyzed. It…

Marginal maximum likelihood, a common estimation method for item response theory models, is not inherently a Bayesian procedure. However, due to estimation difficulties, Bayesian priors are often applied to the likelihood when estimating 3PL models, especially with small samples. Little focus has been placed on choosing the priors for marginal…

Successful entrance into specialty training represents a pivotal stage in the careers of medical officers. Selection for entrance into specialty training programs may encompass criteria including research experience, regional exposure, clinical experience, professional achievements, diversity, equity and inclusion factors, and extracurricular…

Mentorship is a valuable component of the growth of junior faculty, but mentorship and the mentorship network in the broadly defined agricultural education discipline is not well understood. This study describes junior faculty mentees in the discipline and their mentors, as well as the mentorship interactions, including the social network of…